netgrid

数字信号处理中采样定理和卷积定理的验证，简单易懂的matlab源码，(Validation sampling theorem and convolution theorem of the digital signal processing in the matlab source code, easy to understand)

自适应滤波仿真程序源代码,加澡声,绝对有效(Adaptive filter simulation program source code, plus shower sound, to be effective)

说明：  The program can be used. ABC algorithm can solve the VRP Problem for reference.

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)

卫星通信信道链路参数计算与模拟.由于降雨对不同频段下的卫星通信造成不同的衰减，通过计算与模拟卫星通信信 道链路参数，可以设计出可靠性更高的卫星通信系统。(Satellite communication channel link parameter calculation and simulation. Due rainfall in different frequency bands for satellite communications under different attenuation caused by calculation and simulation of satellite communication channel link parameters, you can design a higher reliability of satellite communications systems.)

Fast Visibility Restoration from a single Color or Gray level Image source code

DMC_flexible_manipulator Matlab m-file

说明：   拉平拉斯图像融合(Laping las image fusion)

说明：  类似QQ界面开发源程序。很好用。非常好！非常好！(QQ interface development similar source. Good use. Very good! Very good!)

In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.